| Subject ID | manustest5 |
| Sex | MALE |
| Dominant hand | LEFT |
| Test administered by | neuromedic@manusdevices.net |
| Test date and time | 2023-02-21 15:48 |
| Test battery | Circle, Spiral, Elel, FITTS Short Modified, FITTS Long Modified, ZigZag, ZigZag Offset |
| Operator comment |
Movement Disorder Evaluation
Important
This report is intended to assist qualified Health Care Profesionals (HCP) in the assessment of an individual referred under the suspicion of having Parkinson’s Disease.
Clinical Context
This report presents several AI metrics derived from objective measures from individuals performing a battery of test using Manus Neurodynamica NeuroMotor PenTM.
These presented metrics combine factors from detailed measurement recordings made whilst the individual performs a battery of well established neurological test tasks.
The metrics have been assessed in a UK reference population and an individual’s results are presented in this clinical context. The HCP should review Clinical,Reference, Study et al [1] to establish applicability and limitations.
The information in this report should be used in the context of a full neurological assessment conducted to the current standard of care practices to establish a diagnosis.
Subject and Recording Details
Overall Assessment
PD
Subject performance similar to PD population (recommend review of report details)
Clinical context
In the clinical reference population, 22 individuals with a value less than 0.59 were subsequently diagnosed with PD. That is, 52.38% of the PD diagnoses in the study.
Additionally, 0 individuals with a value greater or equal to 0.59 were subsequently diagnosed as non PD. That is, 0.0% of the non PD diagnoses in the study.
Symptom Scores
These mini boxplots show the scores in a clinical context. Currently against the ‘Walker study’ data. A bigger pool would be much better (so max 83 individuals, usually lower if raw data did not result in successful classification).
The scores are ‘relative to the PD cohort’ and this is how they should be interpreted. A consequence of this is that a low tremor score below may actually correspond to obvious tremor in the raw data, and vice versa.
Micrographia
The micrographia symptom assessment is derived from a combination of factors in the elel task.
{'FN': 3, 'TN': 5, 'TP': 39, 'FP': 25}Tremor
The tremor score is a combination of features in the circle, spiral and both zizag tasks.
{'FN': 17, 'TN': 11, 'TP': 25, 'FP': 19}Bradykinesia
The bradykinesia score is a combination of features in the circle, spiral, both zizag and elel tasks.
{'FN': 14, 'TN': 8, 'TP': 28, 'FP': 22}Spatial Accuracy
The accuracy score is a combination of factors in the spiral, both zigzags and both Fitts tasks.
{'FN': 0, 'TN': 0, 'TP': 42, 'FP': 30}Test Battery Details
Circle
| numCircles | 11 |
| timePerCircleMean | 1.47636 |
| timePerCircleCoV | 0.235092 |
| timePerCircleSlope | -0.00960591 |
| meanError | 4.61563 |
| tremorFreq | 5.66406 |
| tremorRelPower | 16.809 |
| tremorGyroAmpMean | 0.0741631 |
| tremorGyroAmpSlope | -0.0902839 |
| tremorGyroAmpCoV | 0.433548 |
| tremorCoordAmpMean | 0.258255 |
| tremorCoordAmpSlope | -0.03483 |
| tremorCoordAmpCoV | 0.363136 |
| tremorAccAmpMean | 0.206729 |
| tremorAccAmpSlope | -0.048601 |
| tremorAccAmpCoV | 0.328629 |
| tremorPcRelVar | 0.71849 |
| tremorPcX | -0.0381943 |
| tremorPcY | 0.99927 |
Circle Segment 1
Duration 2.08 s, Accuracy Estimate 2.54 (lower is better)
Circle Segment 2
Duration 1.6 s, Accuracy Estimate 3.759 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 320, using nperseg = 320
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 3
Duration 1.6 s, Accuracy Estimate 4.627 (lower is better)
Circle Segment 4
Duration 1.36 s, Accuracy Estimate 4.228 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 272, using nperseg = 272
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 5
Duration 1.2 s, Accuracy Estimate 4.466 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 240, using nperseg = 240
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 6
Duration 1.04 s, Accuracy Estimate 7.496 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 208, using nperseg = 208
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 7
Duration 1.16 s, Accuracy Estimate 5.155 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 232, using nperseg = 232
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 8
Duration 1.28 s, Accuracy Estimate 3.977 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 256, using nperseg = 256
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 9
Duration 1.2 s, Accuracy Estimate 5.421 (lower is better)
Circle Segment 10
Duration 1.96 s, Accuracy Estimate 3.652 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 392, using nperseg = 392
warnings.warn('nperseg = {0:d} is greater than input length '
Circle Segment 11
Duration 1.76 s, Accuracy Estimate 5.451 (lower is better)
/usr/local/lib/python3.9/site-packages/scipy/signal/_spectral_py.py:2014: UserWarning: nperseg = 400 is greater than input length = 352, using nperseg = 352
warnings.warn('nperseg = {0:d} is greater than input length '
Spiral
| numSpirals | 10 |
| timePerSpiralMean | 5.924 |
| timePerSpiralCoV | 0.150932 |
| timePerSpiralSlope | 0.0310601 |
| meanError | 3.00003 |
| tremorFreq | 5.66406 |
| tremorRelPower | 21.766 |
| tremorGyroAmpMean | 0.0896339 |
| tremorGyroAmpSlope | 0.00700559 |
| tremorGyroAmpCoV | 0.366994 |
| tremorCoordAmpMean | 0.171005 |
| tremorCoordAmpSlope | -0.000849514 |
| tremorCoordAmpCoV | 0.30773 |
| tremorAccAmpMean | 0.144576 |
| tremorAccAmpSlope | 0.00141213 |
| tremorAccAmpCoV | 0.245634 |
| tremorPcRelVar | 0.697778 |
| tremorPcX | -0.45987 |
| tremorPcY | 0.887986 |
Spiral Segment 1
Duration 5.76 s, Accuracy Estimate 2.589 (lower is better)
Spiral Segment 2
Duration 5.12 s, Accuracy Estimate 3.06 (lower is better)
Spiral Segment 3
Duration 4.68 s, Accuracy Estimate 3.397 (lower is better)
Spiral Segment 4
Duration 5.16 s, Accuracy Estimate 3.185 (lower is better)
Spiral Segment 5
Duration 5.16 s, Accuracy Estimate 3.231 (lower is better)
Spiral Segment 6
Duration 7.04 s, Accuracy Estimate 2.707 (lower is better)
Spiral Segment 7
Duration 7.36 s, Accuracy Estimate 2.801 (lower is better)
Spiral Segment 8
Duration 6.32 s, Accuracy Estimate 2.935 (lower is better)
Spiral Segment 9
Duration 6.2 s, Accuracy Estimate 2.922 (lower is better)
Spiral Segment 10
Duration 6.44 s, Accuracy Estimate 3.172 (lower is better)
Elel
| eDurationMean | 0.161026 |
| eDurationStd | 0.0351347 |
| eDurationStdnorm | 0.218193 |
| eDurationMedian | 0.15 |
| eDurationQuartdelta | 0.02 |
| eDurationQuartdeltanorm | 0.133333 |
| eDurationKurt | 20.5408 |
| eDurationTrenddiff | 0.005 |
| eDurationTrendratio | 1.03333 |
| eWidthMean | 4.074 |
| eWidthStd | 0.995992 |
| eWidthStdnorm | 0.244475 |
| eWidthMedian | 3.978 |
| eWidthQuartdelta | 1.638 |
| eWidthQuartdeltanorm | 0.411765 |
| eWidthKurt | 2.65087 |
| eWidthTrenddiff | 0.702 |
| eWidthTrendratio | 1.1875 |
| eHeightMean | 6.126 |
| eHeightStd | 1.42197 |
| eHeightStdnorm | 0.232121 |
| eHeightMedian | 5.967 |
| eHeightQuartdelta | 1.8135 |
| eHeightQuartdeltanorm | 0.303922 |
| eHeightKurt | 3.53101 |
| eHeightTrenddiff | 0.117 |
| eHeightTrendratio | 1.01961 |
| eAspectMean | 0.679711 |
| eAspectStd | 0.153376 |
| eAspectStdnorm | 0.225649 |
| eAspectMedian | 0.676471 |
| eAspectQuartdelta | 0.19639 |
| eAspectQuartdeltanorm | 0.290316 |
| eAspectKurt | 3.38305 |
| eAspectTrenddiff | 0.036832 |
| eAspectTrendratio | 1.05609 |
| eSlantMean | 0.227534 |
| eSlantStd | 0.224976 |
| eSlantStdnorm | 0.988757 |
| eSlantMedian | 0.220339 |
| eSlantQuartdelta | 0.244917 |
| eSlantQuartdeltanorm | 1.11155 |
| eSlantKurt | 3.055 |
| eSlantTrenddiff | 0.0260417 |
| eRtopMean | 0.767967 |
| eRtopStd | 0.122192 |
| eRtopStdnorm | 0.159112 |
| eRtopMedian | 0.782609 |
| eRtopQuartdelta | 0.116087 |
| eRtopQuartdeltanorm | 0.148333 |
| eRtopKurt | 5.27511 |
| eRtopTrenddiff | 0.0413793 |
| eRbotMean | 0.46814 |
| eRbotStd | 0.20799 |
| eRbotStdnorm | 0.44429 |
| eRbotMedian | 0.416667 |
| eRbotQuartdelta | 0.21198 |
| eRbotQuartdeltanorm | 0.508752 |
| eRbotKurt | 2.77562 |
| eRbotTrenddiff | -0.0277778 |
| eRrightMean | 0.869901 |
| eRrightStd | 0.106231 |
| eRrightStdnorm | 0.122118 |
| eRrightMedian | 0.895833 |
| eRrightQuartdelta | 0.0852775 |
| eRrightQuartdeltanorm | 0.0951934 |
| eRrightKurt | 10.1052 |
| eRrightTrenddiff | -0.0433404 |
| eRleftMean | 0.297735 |
| eRleftStd | 0.110422 |
| eRleftStdnorm | 0.370872 |
| eRleftMedian | 0.294118 |
| eRleftQuartdelta | 0.148376 |
| eRleftQuartdeltanorm | 0.504478 |
| eRleftKurt | 2.59139 |
| eRleftTrenddiff | -0.0523256 |
| lDurationMean | 0.231094 |
| lDurationStd | 0.0334985 |
| lDurationStdnorm | 0.144956 |
| lDurationMedian | 0.2275 |
| lDurationQuartdelta | 0.0425 |
| lDurationQuartdeltanorm | 0.186813 |
| lDurationKurt | 2.71537 |
| lDurationTrenddiff | 0.01 |
| lDurationTrendratio | 1.04444 |
| lWidthMean | 7.74394 |
| lWidthStd | 1.42536 |
| lWidthStdnorm | 0.184062 |
| lWidthMedian | 7.488 |
| lWidthQuartdelta | 2.457 |
| lWidthQuartdeltanorm | 0.328125 |
| lWidthKurt | 1.93032 |
| lWidthTrenddiff | 1.5795 |
| lWidthTrendratio | 1.22131 |
| lHeightMean | 17.7328 |
| lHeightStd | 2.97491 |
| lHeightStdnorm | 0.167763 |
| lHeightMedian | 17.0235 |
| lHeightQuartdelta | 3.276 |
| lHeightQuartdeltanorm | 0.19244 |
| lHeightKurt | 3.34315 |
| lHeightTrenddiff | 2.574 |
| lHeightTrendratio | 1.15884 |
| lAspectMean | 0.442275 |
| lAspectStd | 0.0814689 |
| lAspectStdnorm | 0.184204 |
| lAspectMedian | 0.430072 |
| lAspectQuartdelta | 0.110754 |
| lAspectQuartdeltanorm | 0.257525 |
| lAspectKurt | 3.6373 |
| lAspectTrenddiff | 0.00686991 |
| lAspectTrendratio | 1.01597 |
| lSlantMean | 0.0836751 |
| lSlantStd | 0.108919 |
| lSlantStdnorm | 1.30168 |
| lSlantMedian | 0.0797666 |
| lSlantQuartdelta | 0.112129 |
| lSlantQuartdeltanorm | 1.40571 |
| lSlantKurt | 2.87061 |
| lSlantTrenddiff | 0.0264358 |
| lRtopMean | 0.886775 |
| lRtopStd | 0.0728257 |
| lRtopStdnorm | 0.0821242 |
| lRtopMedian | 0.914081 |
| lRtopQuartdelta | 0.0980606 |
| lRtopQuartdeltanorm | 0.107278 |
| lRtopKurt | 3.31777 |
| lRtopTrenddiff | 0.0387484 |
| lRbotMean | 0.716633 |
| lRbotStd | 0.181129 |
| lRbotStdnorm | 0.25275 |
| lRbotMedian | 0.710591 |
| lRbotQuartdelta | 0.262705 |
| lRbotQuartdeltanorm | 0.369699 |
| lRbotKurt | 2.9323 |
| lRbotTrenddiff | -0.0396917 |
| lRrightMean | 0.951276 |
| lRrightStd | 0.0439225 |
| lRrightStdnorm | 0.0461722 |
| lRrightMedian | 0.966996 |
| lRrightQuartdelta | 0.0429247 |
| lRrightQuartdeltanorm | 0.0443898 |
| lRrightKurt | 3.56493 |
| lRrightTrenddiff | 0.00789026 |
| lRleftMean | 0.301499 |
| lRleftStd | 0.0673433 |
| lRleftStdnorm | 0.223362 |
| lRleftMedian | 0.299452 |
| lRleftQuartdelta | 0.112154 |
| lRleftQuartdeltanorm | 0.374531 |
| lRleftKurt | 1.84435 |
| lRleftTrenddiff | -0.0406127 |
Elel Segment 1
Elel Segment 2
Elel Segment 3
Elel Segment 4
Elel Segment 5
Elel Segment 6
Elel Segment 7
Elel Segment 8
Elel Segment 9
Elel Segment 10
FITTS Short Modified
| meanTouchScore | 0.928459 |
| sumTouchScores | 38.9953 |
| meanMovementTime | 0.450488 |
| numTouches | 42 |
| undershootPercentage | 0 |
| overshootPercentage | 11.9048 |
FITTS Long Modified
| meanTouchScore | 0.905758 |
| sumTouchScores | 23.5497 |
| meanMovementTime | 0.7454 |
| numTouches | 26 |
| undershootPercentage | 3.84615 |
| overshootPercentage | 7.69231 |
ZigZag
| numZigzags | 5 |
| timePerZigzagMean | 10 |
| timePerZigzagCoV | 0.180953 |
| timePerZigzagSlope | -0.11 |
| meanError | 3.19303 |
| tremorFreq | 5.76172 |
| tremorRelPower | 24.9856 |
| tremorGyroAmpMean | 0.0544761 |
| tremorGyroAmpSlope | 0.0145681 |
| tremorGyroAmpCoV | 0.358599 |
| tremorCoordAmpMean | 0.104735 |
| tremorCoordAmpSlope | 0.00808175 |
| tremorCoordAmpCoV | 0.200105 |
| tremorAccAmpMean | 0.110422 |
| tremorAccAmpSlope | 0.00432651 |
| tremorAccAmpCoV | 0.0938536 |
| tremorPcRelVar | 0.669143 |
| tremorPcX | -0.246211 |
| tremorPcY | 0.969216 |
ZigZag Segment 1
Duration 12.72 s, Accuracy Estimate 2.788 (lower is better)
ZigZag Segment 2
Duration 10.28 s, Accuracy Estimate 2.757 (lower is better)
ZigZag Segment 3
Duration 10.2 s, Accuracy Estimate 2.722 (lower is better)
ZigZag Segment 4
Duration 8.88 s, Accuracy Estimate 3.445 (lower is better)
ZigZag Segment 5
Duration 7.92 s, Accuracy Estimate 4.254 (lower is better)
ZigZag Offset
| numZigzags | 5 |
| timePerZigzagMean | 7.768 |
| timePerZigzagCoV | 0.102626 |
| timePerZigzagSlope | -0.0566426 |
| zigzagHeightMean | 71.891 |
| zigzagHeightCoV | 0.0321566 |
| zigzagHeightSlope | -0.0135775 |
| meanError | 0.0386453 |
| tremorFreq | 5.27344 |
| tremorRelPower | 23.1742 |
| tremorGyroAmpMean | 0.0860567 |
| tremorGyroAmpSlope | 0.0251418 |
| tremorGyroAmpCoV | 0.280875 |
| tremorCoordAmpMean | 0.17481 |
| tremorCoordAmpSlope | 0.015511 |
| tremorCoordAmpCoV | 0.268756 |
| tremorAccAmpMean | 0.122127 |
| tremorAccAmpSlope | 0.0135871 |
| tremorAccAmpCoV | 0.249992 |
| tremorPcRelVar | 0.696738 |
| tremorPcX | -0.410571 |
| tremorPcY | -0.911828 |
ZigZag Offset Segment 1
Duration 8.36 s, Accuracy Estimate 0.035 (lower is better)
ZigZag Offset Segment 2
Duration 8.24 s, Accuracy Estimate 0.028 (lower is better)
ZigZag Offset Segment 3
Duration 8.08 s, Accuracy Estimate 0.033 (lower is better)
ZigZag Offset Segment 4
Duration 7.76 s, Accuracy Estimate 0.032 (lower is better)
ZigZag Offset Segment 5
Duration 6.4 s, Accuracy Estimate 0.065 (lower is better)
Appendices
Misc
Currently a dumping ground for things that could be included or previous output style.
Note
Putting all the results out here but will not be in a final report.
| HiSpec | {‘HiSpec_class’: ‘NOT PD’, ‘HiSpec_score’: 0.68} |
| RanFor | {‘RanFor_class’: ‘PD’, ‘RanFor_score’: 0.59} |
| BM_May22 | {‘BM_May22_class’: ‘PD’, ‘BM_May22_score’: 0.48816416078096103} |
| BM_HC_Sep22 | {‘BM_HC_Sep22_class’: ‘Healthy’, ‘BM_HC_Sep22_score’: 0.0748169724460106} |
| BM_PD_Sep22 | {‘BM_PD_Sep22_class’: ‘PD’, ‘BM_PD_Sep22_score’: 0.5451176313235797} |
